PHEMI Health DataLabPHEMI Systems
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Related Products
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About
Privacy engineering is an emerging field that has intersections with data engineering, information security, software development, and privacy law. Its goal is to ensure that personal data is stored and processed in a legally compliant way that respects and protects the privacy of the individuals this data belongs in the best possible way. Security engineering is on one hand a requirement for privacy engineering but also an independent discipline that aims to guarantee the secure processing and storage of sensitive data in general. If your organization processes data that is either sensitive or personal (or both), you need privacy & security engineering. This is especially true if you do your own data engineering or data science.
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About
The PHEMI Trustworthy Health DataLab is a unique, cloud-based, integrated big data management system that allows healthcare organizations to enhance innovation and generate value from healthcare data by simplifying the ingestion and de-identification of data with NSA/military-grade governance, privacy, and security built-in.
Conventional products simply lock down data, PHEMI goes further, solving privacy and security challenges and addressing the urgent need to secure, govern, curate, and control access to privacy-sensitive personal healthcare information (PHI). This improves data sharing and collaboration inside and outside of an enterprise—without compromising the privacy of sensitive information or increasing administrative burden.
PHEMI Trustworthy Health DataLab can scale to any size of organization, is easy to deploy and manage, connects to hundreds of data sources, and integrates with popular data science and business analysis tools.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Organizations interested in a privacy and security engineering platform that helps them protect sensitive data
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Audience
Organizations interested in a system to manage data governance, data privacy and data security at petabyte scale.
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationKodex
heykodex.com
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Company InformationPHEMI Systems
Founded: 2013
Canada
www.phemi.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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Data Privacy Management Features
Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification
Big Data Features
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Governance Features
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Data Management Features
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Security Features
Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance
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Integrations
Amazon Web Services (AWS)
Apache Hive
Apache Ranger
Apache Spark
Cloudera
Hadoop
Microsoft Azure
Microsoft Power BI
Tableau
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Integrations
Amazon Web Services (AWS)
Apache Hive
Apache Ranger
Apache Spark
Cloudera
Hadoop
Microsoft Azure
Microsoft Power BI
Tableau
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